Resistance Welding Spot Defect Detection with Convolutional Neural Networks
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-68345-4_15
Reference10 articles.
1. LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278–2324 (1998)
2. Fukushima, K.: Neocognitron: a self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biol. Cybern. 36(4), 193–202 (1980)
3. Collobert, R., Weston, J.: A unified architecture for natural language processing: deep neural networks with multitask learning. In: Proceedings of the 25th ICML, vol. 25, pp. 160–167 (2008)
4. Hinton, G., Deng, L., Yu, D., Dahl, G.E., Mohamed, A.-R., et al.: Deep neural networks for acoustic modeling in speech recognition: the shared views of four research groups. IEEE Sig. Process. Mag. 29(6), 82–97 (2012)
5. Park, J.-K., Kwon, B.-K., Park, J.-H., Kang, D.-J.: Machine learning-based imaging system for surface defect inspection. Int. J. Precis. Eng. Manuf.-Green Tech. 3, 303–310 (2016)
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